Data Engineering & Infrastructure
Engineering the Data Infrastructure Behind What's Next.
Stratum Data designs reliable data pipelines, transforms complex information into trusted data, and builds secure infrastructure capable of scaling with modern businesses.
Scalable Architecture
Infrastructure designed to grow with data volume and workload complexity.
Automated Workflows
Pipelines and transformations that run reliably, with minimal manual intervention.
Security-Focused Engineering
Access controls and governance built into the platform, not bolted on after.
End-to-End Data Lifecycle
From ingestion to business value, engineered as a single coherent system.
About Stratum Data
Specialists in the infrastructure that makes data useful.
Stratum Data builds the systems that move, transform, govern, secure, and store information for modern businesses — engineered for automation, scalability, reliability, and security at every layer. Led by CEO Peter Bounds, the team focuses on operational efficiency and data integrity, not just architecture diagrams.
Sources
Pipelines
Transformation
Storage
Governance
Business Value
Core Services
Four disciplines. One coherent data platform.
Each engagement draws on the same underlying capability set — combined differently depending on what your data environment actually needs.
Data Pipeline Engineering
Automated workflows that extract data from any source and reliably deliver it downstream.
- Batch & streaming ingestion
- Orchestration & monitoring
- Fault handling at scale
Data Transformation
Raw, inconsistent data converted into clean, standardized, trustworthy information.
- Validation & quality checks
- Deduplication & enrichment
- Sensitive-data masking
Infrastructure Management
Data lakes, warehouses, and lakehouses designed, optimized, and kept running.
- Cloud storage & distributed processing
- Automation & monitoring
- Performance tuning
Data Governance & Security
Access controls, lineage, and classification that keep data trustworthy and compliant.
- Access controls & auditability
- Data lineage tracking
- Sensitive-data protection
Platform Architecture
How data moves through a Stratum Data platform.
A layered architecture — each tier feeding the next, with governance and security running through the entire path rather than sitting at the edges.
Why Stratum Data
Engineering discipline, applied to data.
Built for Scale
Infrastructure designed to accommodate growing data volumes and workloads.
Automated by Design
Reduce repetitive manual processes through reliable data workflows.
Security at Every Layer
Protect sensitive information with appropriate access controls and governance practices.
Data You Can Trust
Validation and quality controls built into the data lifecycle.
Infrastructure That Performs
Efficient, maintainable data platforms designed to run reliably.
Visibility & Lineage
Understand where data originates, how it changes, and where it goes.
How We Work
A disciplined process, from discovery to scale.
Discover
Understand the organization's data environment, requirements, and objectives.
Architect
Design the appropriate data pipeline and infrastructure architecture.
Build
Develop automated pipelines, transformation workflows, and infrastructure.
Secure
Implement appropriate governance, access controls, and data protection mechanisms.
Optimize
Monitor performance, improve reliability, and optimize infrastructure.
Scale
Prepare the platform to support future data volumes and evolving business requirements.
Start a Conversation
Let's talk about your data infrastructure.
Tell us what you're working with today, and we'll help you think through what a reliable, secure, scalable platform looks like.